Principal Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Pipelines, Data Quality, Data Governance, Cloud Platforms, SQL, Python, ETL, Data Modeling, Security Best Practices, Machine Learning, Mentoring, Performance Tuning, Compliance, Data Warehousing, Streaming Platforms

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Engineer in the United States. As a Principal Data Engineer, you will lead the design, implementation, and optimization of enterprise-scale data platforms and architectures. You will be responsible for building reliable, scalable data pipelines, ensuring data quality and governance, and enabling analytics and machine learning across the organization. This role combines hands-on engineering with strategic leadership, allowing you to influence company-wide data initiatives and collaborate with cross-functional teams. You will help translate complex business needs into robust data products while mentoring and guiding other engineers. This position offers the chance to make a tangible impact in a fast-growing, innovative environment. Accountabilities Define and maintain end-to-end data architecture, including lake/lakehouse/warehouse designs, batch/streaming pipelines, and metadata management. Establish standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models. Design and implement scalable ELT/ETL and event-driven pipelines with reliable ingestion patterns (CDC, API, file, message bus). Ensure data quality, lineage, and governance through SLAs, validation tests, anomaly detection, and incident runbooks. Lead performance tuning, capacity planning, query optimization, and cost management for storage and compute resources. Implement security and compliance best practices, including encryption, access controls, and regulatory alignment (SOC 2, GDPR, CCPA, HIPAA as applicable). Enable analytics and ML by delivering versioned datasets/features, maintaining semantic layers, and operationalizing data for experimentation and BI. Provide technical leadership, mentor engineers, run design reviews, and guide trade-off decisions across data initiatives. 10+ years of experience in data engineering, including 3+ years in a senior/staff/principal capacity. Proven experience leading company-wide data architecture and platform initiatives. Strong expertise in at least one cloud platform (AWS preferred) and modern warehouse/lakehouse technologies (Snowflake, Redshift, Databricks). Proficient in SQL and one programming language (Python, Scala, or Java). Experience with orchestration tools (Airflow, Dagster, Prefect), transformations (dbt or equivalent), and streaming platforms (Kafka, Kinesis, Pub/Sub). Deep understanding of data modeling (3NF, star schema, data vault) and semantic/metrics layers. Hands-on experience with data quality testing, lineage tracking, and observability in production environments. Knowledge of security best practices: RBAC/ABAC, encryption, key management, and auditability. Preferred: experience with feature stores, ML data operations, governance tools (DataHub, Collibra, Alation), cost optimization at scale, and compliance frameworks (SOC 2, GDPR, HIPAA, PCI). Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off & 9 Paid Holidays Family Leave Flexible Work From Home Co-working space access and free snacks Wellness resources and professional development opportunities Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the design, implementation, and optimization of enterprise-scale data platforms and architectures. Build reliable, scalable data pipelines while ensuring data quality and governance across the organization.